{"title":"基于支持向量回归的无线通信可靠性预测","authors":"Pan Qun, Wang Lin, Zhuang Yan-bin","doi":"10.1109/ICACTE.2010.5579094","DOIUrl":null,"url":null,"abstract":"The Support Vector Regression method have complete statistical learning theory basis and excellent performance on small samples. Based on the introduction of support vector regression method, the paper introduced Support Vector Machine (SVM) into wireless communication network reliability prediction. Using support vector regression method, the reliability prediction model of wireless communication network was established. Verification of actual data and comparison with BP neural network method shows that the model has feasibility and superiority in the reliability prediction of wireless communication network.","PeriodicalId":255806,"journal":{"name":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wireless communication reliability prediction based on Support Vector Regression\",\"authors\":\"Pan Qun, Wang Lin, Zhuang Yan-bin\",\"doi\":\"10.1109/ICACTE.2010.5579094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Support Vector Regression method have complete statistical learning theory basis and excellent performance on small samples. Based on the introduction of support vector regression method, the paper introduced Support Vector Machine (SVM) into wireless communication network reliability prediction. Using support vector regression method, the reliability prediction model of wireless communication network was established. Verification of actual data and comparison with BP neural network method shows that the model has feasibility and superiority in the reliability prediction of wireless communication network.\",\"PeriodicalId\":255806,\"journal\":{\"name\":\"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACTE.2010.5579094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACTE.2010.5579094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wireless communication reliability prediction based on Support Vector Regression
The Support Vector Regression method have complete statistical learning theory basis and excellent performance on small samples. Based on the introduction of support vector regression method, the paper introduced Support Vector Machine (SVM) into wireless communication network reliability prediction. Using support vector regression method, the reliability prediction model of wireless communication network was established. Verification of actual data and comparison with BP neural network method shows that the model has feasibility and superiority in the reliability prediction of wireless communication network.